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def bytes_to_bytesio(bytestream): """Convert a bytestring to a BytesIO ready to be decoded.""" from io import BytesIO fp = BytesIO() fp.write(bytestream) fp.seek(0) return fp
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def image_scatter_channels(im: Image, subimages=None) -> List[Image]: """Scatter an image into a list of subimages using the channels :param im: Image :param subimages: Number of channels :return: list of subimages """ image_list = list() if subimages is None: subimages = im.sh...
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def unauthorized_handler(): """ If unauthorized requests are arrived then redirect sign-in URL. :return: Redirect sign-in in page """ current_app.logger.info("Unauthorized user need to sign-in") return redirect(url_for('userView.signin'))
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def main(exit_event): """ ladder Lights one channel at a time in order Then backs down to the first Then repeat everything 20 times """ # this is a list of all the channels you have access to lights = hc._GPIO_PINS # start with all the lights off hc.turn_off_lights() # paus...
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def pre_order_next(path, children): """Returns the next dir for pre-order traversal.""" assert path.startswith('/'), path # First subdir is next for subdir in children(path): return posixpath.join(path, subdir) while path != '/': # Next sibling is next name = posixpath.basename(path) parent ...
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def gettiming(process_list, typetiming): """ Used to get a sort set for different duration needed to conver to morse code. """ timing = [] for x in process_list: if(x[0] == typetiming): timing.append(x[3]) timing = set(timing) return sorted(timing)
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def new_begin(self): """Runs when game is began.""" org_begin(self) night_mode()
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def init(): """Top level command handler.""" @click.command() @click.option('--approot', type=click.Path(exists=True), envvar='TREADMILL_APPROOT', required=True) @click.argument('eventfile', type=click.Path(exists=True)) def configure(approot, eventfile): """Configure loca...
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def launch_subprocess(command): """ Process launch helper :param command Command to execute :type command list[str]|str :return Popen object """ is_shell = not isinstance(command, (list, tuple)) return subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=is_shell, close_fds=T...
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def tobooks(f: '(toks, int) -> DataFrame', bks=bktksall) -> DataFrame: """Apply a function `f` to all the tokens in each book, putting the results into a DataFrame column, and adding a column to indicate each book. """ return pd.concat([f(v, i) for i, v in bks.items()])
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def _identity_error_message(msg_type, message, status_code, request): """ Set the response code on the request, and return a JSON blob representing a Identity error body, in the format Identity returns error messages. :param str msg_type: What type of error this is - something like "badRequest"...
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def dummySvgCall(): """Code which is here just so pyinstaller can discover we need SVG support""" dummy = QtSvg.QGraphicsSvgItem("some_svg.svg")
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def _string_to_list(s, dtype='str'): """ converts string to list Args: s: input dtype: specifies the type of elements in the list can be one of `str` or `int` """ if ' <SENT/> ' in s: return s.split(' <SENT/> ') elif dtype == 'int': return [int(e) for e in s.split(L...
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def internal_solve_pounders( criterion, x0, lower_bounds, upper_bounds, gtol_abs, gtol_rel, gtol_scaled, maxinterp, maxiter, delta, delta_min, delta_max, gamma0, gamma1, theta1, theta2, eta0, eta1, c1, c2, solver_sub, maxiter_sub, ...
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def get_overlap_info(bbox): """ input: box_priors: [batch_size, number_obj, 4] output: [number_object, 6] number of overlapped obj (self not included) sum of all intersection area (self not included) sum of IoU (Intersection over Union) average of all intersection are...
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def comvideo(inputvideo, endvideo): """ 视频合成 :param inputvideo:合成的第一段视频 :param endvideo:合成的第二段视频 :return: """ path, _ = os.path.splitext(inputvideo) a = '视频空间合成{}.mp4'.format(endvideo) outname = path + a video1 = VideoFileClip(inputvideo) video2 = VideoFileClip(endvideo) ...
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def get_current_language(request, set_default=True, default_id=1): """ Description: Returns the current active language. Will set a default language if none is found. Args: request (HttpRequest): HttpRequest from Django set_default (Boolean): Indicates if a default language must be a...
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def _update_user_proficiency(user_proficiency): """Updates the user_proficiency. Args: user_proficiency: UserContributionProficiency. The user proficiency to be updated. """ user_proficiency_model = user_models.UserContributionProficiencyModel.get( user_proficiency.user_id, ...
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def get_children(): """ Get children of a given instance. """ yield lambda selector, key: base.find_children(metadata.CRAIGSLIST, selector, key)
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def is_leap_year(year): """ returns True for leap year and False otherwise :param int year: calendar year :return bool: """ # return (year % 4 == 0 and year % 100 != 0) or (year % 400 == 0) return year % 100 != 0 or year % 400 == 0 if year % 4 == 0 else False
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def update_search_params(context, **kwargs): """Update the set parameters of the current request""" params = context["request"].GET.copy() for k, v in kwargs.items(): params[k] = v return params.urlencode()
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def dynamic2message(dynamic_dict: dict) -> Message: """ 将从api获取到的原始动态转换为消息 """ author_name = dynamic_dict['desc']['user_profile']['info']['uname'] dynamic_id = dynamic_dict['desc']['dynamic_id'] if dynamic_dict['desc']['type'] == 1: # 转发或投票 text = f"用户[{author_name}]转发了动态:\n" + dynamic_...
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def main(include_diagnoses=(1,3)): """Training and validation using all modalities Parameters: ---------- include_diagnoses: tuple or list Which groups/diagnoses included in training and validation, such as (1,3) """ # Instantiate model model = Model() # Concatenate all mo...
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def dem_to_roughness(src_raster, band=0): """Calculate the roughness for the DEM. Parameters ---------- src_raster : Raster The dem used to calculate the roughness. band : int, optional, default: 0 source band number to use. Returns ------- dst_raster: Raster ro...
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def conv_filter_image_summary(tag, kernel, padding=1): """Creates an image summary of the convolutional filters of the first layer. Parameters ---------- tag: str or Tensor of type string A scalar Tensor of type string. Used to build the tag of the summary values. A placeholder could be ...
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def import_file(path, name=None): """Import modules from file.""" spec = importlib.util.spec_from_file_location(name or '', path) module = importlib.util.module_from_spec(spec) if name: sys.modules[name] = module spec.loader.exec_module(module) return module
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def batch_matmul_checker( attrs: Any, args: List[relay.expr.Expr], op_name: str ) -> bool: # pylint: disable=unused-variable """Check if dense is supported by TensorRT.""" if get_tensorrt_use_implicit_batch_mode() and len(args[0].checked_type.shape) != len( args[1].checked_type.shape ): ...
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def func_run_dynamic(input_file, dynamic_dic, exclude, pprint): """ Execute one dynamic template :param input_file: (string) The template file name :param dynamic_dic: (dict) The dictionary of the dynamic variables :return: """ new_template_filename = create_dynamic_template(input_file, dyn...
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def find(store_config, shardid): # FIXME require config instead """Find the path of a shard. Args: store_config: Dict of storage paths to optional attributes. limit: The dir size limit in bytes, 0 for no limit. use_folder_tree: Files organized in a folder tr...
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def octoquote(): """prints a small gift""" print(np.random.choice(all_quotes)) pass
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def CppCallStaticMethod(scope, type_defn, method, param_exprs): """Gets the representation of a static function call. Args: scope: a Definition for the scope in which the expression will be written. type_defn: a Definition, representing the type of the object being called. method: a Function, represent...
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def xclGetDeviceInfo2 (handle, info): """ xclGetDeviceInfo2() - Obtain various bits of information from the device :param handle: (xclDeviceHandle) device handle :param info: (xclDeviceInfo pointer) Information record :return: 0 on success or appropriate error number """ libc.xclGetDeviceI...
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def template_failure(request, status=403, **kwargs): """ Renders a SAML-specific template with general authentication error description. """ return render(request, 'djangosaml2/login_error.html', status=status)
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def zflatten2xyz(z, x=None, y=None): """ flatten an nxm 2D array to [x, y, z] of shape=(n*m, 3)""" if x is None: x = np.arrange(0, z.shape[0], step=1) if y is None: y = np.arrange(0, z.shape[1], step=1) xlen = len(x) ylen = len(y) assert z.shape[0] == xlen and z.shape[1] == ylen,...
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def test_update_site_logo(admin_client, settings): """ We can add a site logo, and it renders out """ url = reverse("admin:index") settings.JAZZMIN_SETTINGS["site_logo"] = "books/img/logo.png" response = admin_client.get(url) soup = BeautifulSoup(response.content, "html.parser") assert...
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def penalized_log_likelihood(curve,t,pairwise_contact_matrix,a,b,term_weights,square_root_speed=None,pairwise_distance_matrix=None): """ penalized log likelihood """ if pairwise_distance_matrix is None: #if the do not already have the pairwise distance matrix computed, then compute it pairwise_d...
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def listening_ports(): """ Reads listening ports from /proc/net/tcp """ ports = [] if not os.path.exists(PROC_TCP): return ports with open(PROC_TCP) as fh: for line in fh: if '00000000:0000' not in line: continue parts = line.lstrip(' ').split(' ...
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def dict2array(X): """ Returns a Numpy array from dictionary Parameters ---------- X: dict """ all_var = [] for k in X.keys(): all_var.append(X[k]) return np.array(all_var)
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def preprocess_field_data(subdelimiter, field_value, path_to_script): """Executes a field preprocessor script and returns its output and exit status code. The script is passed the field subdelimiter as defined in the config YAML and the field's value, and prints a modified vesion of the value (result)...
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def dfs_level_details(): """This function traverses all levels in a DFS style. It gets the child directories and recursively calls the same function on child directories to extract its level details Returns: Dictionary: Key is the level name, value is a list with first element as url and th...
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def set_ansible_envar() -> None: """Set an envar if not set, runner will need this""" ansible_config_path, msgs = get_conf_path("ansible.cfg") for msg in msgs: logger.debug(msg) # set as env var, since we hand env vars over to runner if ansible_config_path and not os.getenv("ANSIBLE_CONFIG...
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def makeNonParameterized(p): """Return a new Pointset stripped of its parameterization. """ if isinstance(p, Pointset) and p._isparameterized: return Pointset({'coordarray': copy(p.coordarray), 'coordnames': copy(p.coordnames), 'norm': p._normord, ...
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def interface_getattr(*v): """Behaves like `getattr` but for zope Interface objects which hide the attributes. .. note:: Originally I simply tried to override :meth:`InterfaceDocumenter.special_attrgetter` to deal with the special access needs of :class:`Interface` objects, but found that thi...
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def round_time(t, to=timedelta(seconds=1)): """ cftime will introduces noise when decoding values into date objects. This rounds time in the date object to the nearest second, assuming the init time is at most 1 sec away from a round minute. This is used when merging datasets so their time dims match up...
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def decide_end(match_list, return_whole_match_object = False): """ Among all the match objects, return the march string the closest to the end of the text Return : a string. If return_whole_match_object is True, return a match object """ if len(match_list) == 0: return pd.NA ends = ...
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def ensure_tag(tag_id): """ Check if a tag with id `tag_id` exists. If not, create it. """ if not tag_id: raise ValueError("Tag id must not be empty") with get_db().transaction() as t: try: t.query(_Tag).filter(_Tag.id == tag_id).one() except NoResultFound: ...
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def get_level_refactorings_count(level: int, dataset: str = "") -> str: """ Get the count of all refactorings for the given level Parameter: level (int): get the refactoring instances for this level dataset (str) (optional): filter for these specific projects """ retu...
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def repeat_batch(t, K, dim=0): """Repeat a tensor while keeping the concept of a batch. :param t: `torch.Tensor`: The tensor to repeat. :param K: `int`: The number of times to repeat the tensor. :param dim: `int`: The dimension to repeat in. This should be the batch dimension. :returns: `t...
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def ifte(s, g_cond, g_true, g_false): """goal that succeeds if g_cond and g_true succeed or g_cond fails and g_false succeeds""" def loop(s_inf=g_cond(s)): try: first_cond = next(s_inf) except StopIteration: yield from g_false(s) return except Suspend...
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def filter_by_continue_threshold_variance_threshold(peak_info, acc, cont_win_size=3, cont_thres=4, var_thres=0.001): """ Calculate the continuity by a given window length, then calculate the variance and filter the data by a given threshold :param peak_info: a 5D matrix :param cont_win_size: continu...
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def configure(config: Configuration) -> None: """Configure the Origin Request handler.""" global _config _config = config
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def send_update(*args: str) -> bool: """ Updates the path endpoint to contain the current UTC timestamp """ assert args, "Firebase path cannot be empty" endpoint = args[-1] value = {endpoint: datetime.utcnow().isoformat()} return send_message(value, *args[:-1])
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def test_sophos_firewall_web_filter_update_command(requests_mock): """ Scenario: Update an existing web filter. Given: - User has provided valid credentials. When: - sophos_firewall_web_filter_update is called. Then: - Ensure outputs prefix is correct. - Ensure a sample value fro...
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def run_quad_extraction(cart3d_triq_filename): """tests getting the normal groups""" cart3d = Cart3D(log=None, debug=False) result_names = [] # read the mesh only cart3d.read_cart3d(cart3d_triq_filename, result_names=result_names) points = cart3d.points elements = cart3d.elements celements...
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def execute_custom(datatype, runtype, driver, data_repository, step_list): """ Execute a custom testcase """ print_info("{0} {1}".format(datatype, runtype)) tc_status = False if data_repository.has_key("suite_exectype") and \ data_repository["suite_exectype"].upper() == "ITERATIVE": ...
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def setup(bot): """ Setup the cog """ bot.add_cog(Admin(bot))
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def _gather_function(properties, funcs): """generate functions of all components as sequence""" for name, fun in funcs.iteritems(): if len(fun) == 1: properties[name] = fun[0] else: properties[name] = _gen_sequence_function(fun)
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def parseSolFile(filename): """Parses SOL file and extract soil profiles.""" data = {} profile = None lat = None lon = None with open(filename) as fin: for line in fin: if line.startswith("*"): if profile is not None: data[(lat, lon)] = "{0...
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def test_validate_params(): """Testing validation of params attribute.""" # four different ways in which params can fail invalid_params_0 = (1.0, 1.0, 0.02, 0.02, 0.15, 0.33, 0.03) invalid_params_1 = {'A0': 1.0, 'g': -0.02, 'L0': 1.0, 'n': -0.02, 's': 0.15, 'alpha': 0.33, 'delta'...
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def test_environment(): """Test loading form environment variables""" for var, value in env_vars: os.environ[var] = value config = yaconfig.Config(metaconfig) config.load_environment(prefix="YACONFIG_TEST_") for variable, value in config.items(): assert value == env_expected[varia...
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def get_deps_info(projects, configs): """Calculates dependency information (forward and backwards) given configs.""" deps = {p: configs[p].get('deps', {}) for p in projects} # Figure out the backwards version of the deps graph. This allows us to figure # out which projects we need to test given a project. So, ...
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def write_cflags(): """Adds C-Flags. C++ version is defined at the beginning of this file""" text = f"""CFLAGS = ${{TF_CFLAGS}} ${{OMP_CFLAGS}} -fPIC -O2 -std={CPPVERSION} LDFLAGS = -shared ${{TF_LFLAGS}} """ text += write_cflags_cuda() return text
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def ins_to_sem_compatibility(sem_labels_for_instances, num_sem_labels, stuff_sem_cls_ids, stuff_penalisation=1.0): """ Returns the compatibility matrix for the instance_labels -> semantic_labels bipartite potentials in BCRF. Args: sem_labels_for_instances: Semantic labels of the instances. 0th in...
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def display_matches(BL_im, FU_im, BL_points, FU_points, inliers=[]): """ A function that displays the two given images and plots the matching points in each of the corresponding images. """ fig = plt.figure() fig.add_subplot(1, 2, 1) plt.imshow(BL_im) plt.title('BL01') for point ...
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def test_update_package_dry_run(monkeypatch): """Test generating an update command for a package.""" monkeypatch.setattr(manage, "call", Mock()) pkg = PkgFile("mypkg", "1.0", replaces=PkgFile("mypkg", "0.9")) update_package(pkg, ".", dry_run=True) assert not manage.call.mock_calls
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def get_coverage(inputs): """Get edge coverage. Returns: A dictionary of inputs and corresponding coverage """ cov_dict = dict() for test_input in inputs: "Get coverage by running the program" cov = coverage(input) "Update coverage dictionary of test input" cov_dict[test_input] = cov ret...
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def test_inchi_key(input, output): """Check that inchi key is the same""" rd_mol = Chem.MolFromSmiles(input) rd_inchi_key = cmiles.generator.get_inchi_and_key(rd_mol)[1] assert rd_inchi_key == output
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def compress_as(filename, fmt, target=None, keep=True): """Compress an existing file. Supported compression formats are: gzip, bzip2, zip, and lzma (Python 3.3 or newer only). Args: filename: The path and name of the uncompressed file. fmt: Decides to which format the file will be comp...
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def average(arr, mode = "mixed"): """ average(arr, mode) takes the average of a given array Once again, the modes of add() can be used here to denote what the type of the array is The function below, determine_mode(arr) can be used to determine the correct mode for your array """ if len(arr) == ...
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def createTag(tag): """ Method that creates a tag on the ExtraHop system. Parameters: tag (str): The name of the tag """ url = urlunparse(("https", HOST, "/api/v1/tags", "", "", "")) headers = {"Authorization": "ExtraHop apikey=%s" % API_KEY} data = {"name": TAG} r = req...
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def save_result_to_csv(source, results, dst="."): """Save ingestion results to CSV file.""" with open(f"{dst}/ingestion-{source}.csv", "w") as f: writer = csv.writer(f) for initial_size, result in results.items(): for entites, time in result.items(): writer.writerow(i...
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def non_halting(p): """Return a non-halting part of parser `p` or `None`.""" return left_recursive(p) or non_halting_many(p)
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def set_cfg(config_name:str): """ Sets the active config. Works even if cfg is already imported! """ global cfg # Note this is not just an eval because I'm lazy, but also because it can # be used like ssd300_config.copy({'max_size': 400}) for extreme fine-tuning cfg.replace(eval(config_name))
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def remove_products_by_search_number(user_id: str, search_number: str): """Remove products of search.""" db = get_database_connection() search_url = db.hget(f'{DB_SEARCH_PREFIX}{user_id}', search_number) remove_launched_search(user_id, search_url.decode('utf-8')) products_pattern = f'{DB_PRODUCT_PRE...
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def _isValidWord(word): """Determine whether a word is valid. A valid word is a valid english non-stop word.""" if word in _englishStopWords: return False elif word in _englishWords: return True elif wordnet.synsets(word): return True else: return False
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def compare_floats(value1: float, value2: float): """Função que compara 2 floats""" return True if abs(value1 - value2) <= 10**-6 else False
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def carrega_dataset(caminho_diretorio: str, divisao: Tuple[int, int], embaralhar=True) -> Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray]: """Especifique o caminho do diretório em que os arquivos `noisy.npy`e `original.npy` estão. Args: caminho_diretorio (str): caminho do diretório. divi...
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def _build_treelite_classifier(m, data, arg={}): """Setup function for treelite classification benchmarking""" from cuml.utils.import_utils import has_treelite, has_xgboost if has_treelite(): import treelite import treelite.runtime else: raise ImportError("No treelite package fou...
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def insertion_sort(start, end): """Sort an array of pairs of addresses. This is an insertion sort, so it's slowish unless the array is mostly sorted already (which is what I expect, but XXX check this). """ next = start while next < end: # assuming the interval from start (included) to ...
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def _RenameChartsAndPointsWithSuffix(charts, suffix): """Append |suffix| to all chart names (except 'trace') and point names (except 'summary'). Args: charts: A dictionary of charts. suffix: A string suffix, e.g. '_control'. """ # First rename all points except 'summary. for chart_name in charts: ...
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def _pkq(pk): """ Returns a query based on pk. Note that these are designed to integrate with cells and how they are saved in the database :Parameters: ---------------- pk : list list of primary keys :Returns: ------- dict mongo query filtering fo...
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def inspect_decode_labels(pred, num_images=1, num_classes=NUM_CLASSES, inspect_split=[0.9, 0.8, 0.7, 0.5, 0.0], inspect_ratio=[1.0, 0.8, 0.6, 0.3]): """Decode batch of segmentation masks accroding to the prediction probability. Args: pred: result of inference. num_images: number of ima...
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def set_default_values( **attributes: Dict[str, Union[float, int, str]], ) -> Dict[str, Union[float, int, str]]: """Set the default value of various parameters. :param attributes: the attribute dict for the electronic filter being calculated. :return: attributes; the updated attribute dict. :rtype:...
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def validate_function(fn: FunctionType, config: Configuration, module_type: ModuleType) -> FunctionValidationResult: """Validates the docstring of a function against its signature. Args: fn (FunctionType): The function to validate. config (Configuration): The configuration to use while validati...
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def find_existing_installation(package_name: str, display_name: str, test=True): """ Finds an existing installation of a package in the windows registry given the package name and display name #### Arguments package_name (str): Name of the package display_name (str): Display name of the pack...
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def say(l, b, i): """ !d Repeat a word or phrase !a <message...> !r moderator """ try: print 'Saying the phrase:', ' '.join(i.args) b.l_say(' '.join(i.args), i, 1) return True except TypeError: return False
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def run_benchmark(args): """Runs the benchmark.""" try: dtest = xgb.DMatrix('dtest.dm') dtrain = xgb.DMatrix('dtrain.dm') if not (dtest.num_col() == args.columns and dtrain.num_col() == args.columns): raise ValueError("Wrong cols") if not (dtest.num_r...
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def rSanderSelect(dbItem,index=0,interactive=False): """ rSanderSelect(dbItem,index=0,interactive=False) select which rSander henry data to use in dbItem Parameters: dbItem, db[key] dictionary object with keys = ['hbpSIP','hbpSIPL', 'hbpSI_index'] index, pos...
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def dataset_w_pedigree_field(): """ :return: Return model Dataset example with `pedigree_field` defined. """ search_pattern = SearchPattern(left="*/*/*_R1.fastq.gz", right="*/*/*_R2.fastq.gz") dataset = DataSet( sheet_file="sheet.tsv", sheet_type="germline_variants", search_p...
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def build_index(site_data, posts): """Build index. Builds an index page from the given site data and list of posts. Parameters ---------- site_data : dict Site- and blog-level data. posts : list A list of dictionaries of page data. Returns ------- None """ ...
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def main(): """Make a jazz noise here""" args = get_args() file = '../data/metagenomes-4.1.csv' njobs = 10 #interpro_dir = os.path.join(os.getcwd(), 'interpro') interpro_dir = '../data/interpro' if not os.path.isdir(interpro_dir): os.makedirs(interpro_dir) tmpl = 'https://www.e...
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def get_new_access_token(client_id, client_secret, refresh_token): """Use long-lived refresh token to get short-lived access token.""" response = requests.post( 'https://www.googleapis.com/oauth2/v4/token', data={ 'client_id': client_id, 'client_secret': client_secret, ...
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def prettify_seconds(seconds): """ Prettifies seconds. Takes number of seconds (int) as input and returns a prettified string. Example: >>> prettify_seconds(342543) '3 days, 23 hours, 9 minutes and 3 seconds' """ if seconds < 0: raise ValueError("negative input not allowed") ...
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def _PrepareServer(vm): """Installs Tensorflow Serving on a single server vm. Args: vm: server vm to operate on """ logging.info('Installing Tensorflow Serving on server %s', vm) vm.Install('tensorflow_serving') vm.InstallPreprovisionedBenchmarkData( BENCHMARK_NAME, [RESNET_NHWC_SAVEDMODEL_TGZ], ...
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def get_regions_prodigal(fn): """Parse prodigal output""" regions = {} with open(fn, 'r') as f: for line in f: if line[:12] == '# Model Data': continue if line[:15] == '# Sequence Data': m = re.search('seqhdr="(\S+)"', line) if ...
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def add_processor(name, processor_object): """Adds a Processor to the autopkglib namespace""" globals()[name] = processor_object if name not in _PROCESSOR_NAMES: _PROCESSOR_NAMES.append(name)
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def get_transform(account_name: Optional[str] = None, resource_group_name: Optional[str] = None, transform_name: Optional[str] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetTransformResult: """ Use this data source to access information...
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def do_ptp_modify(cc, args): """Modify PTP attributes.""" ptps = cc.ptp.list() ptp = ptps[0] op = "replace" attributes = [] if args.enabled is not None: attributes.append('enabled=%s' % args.enabled) if args.mode is not None: attributes.append('mode=%s' % args.mode) if ...
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def default_preprocessing(df): """Perform the same preprocessing as the original analysis: https://github.com/propublica/compas-analysis/blob/master/Compas%20Analysis.ipynb """ return df[(df.days_b_screening_arrest <= 30) & (df.days_b_screening_arrest >= -30) & (df.is_recid != -1...
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def get_step_type_udfs( step_type: str, workflow: str, adapter: ArnoldAdapter = Depends(get_arnold_adapter), ): """Get available artifact udfs for a step type""" artifact_udfs = find_step_type_artifact_udfs( adapter=adapter, step_type=step_type, workflow=workflow ) process_udfs = fi...
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